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/*******************************************************************************
 * Copyright (c) 2015-2018 Skymind, Inc.
 *
 * This program and the accompanying materials are made available under the
 * terms of the Apache License, Version 2.0 which is available at
 * https://www.apache.org/licenses/LICENSE-2.0.
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
 * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
 * License for the specific language governing permissions and limitations
 * under the License.
 *
 * SPDX-License-Identifier: Apache-2.0
 ******************************************************************************/

package org.nd4j.linalg.api.ops.impl.shape.bp;

import lombok.NonNull;
import lombok.extern.slf4j.Slf4j;
import lombok.val;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.base.Preconditions;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.imports.descriptors.properties.PropertyMapping;
import org.nd4j.imports.graphmapper.tf.TFGraphMapper;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.nd4j.linalg.exception.ND4JIllegalStateException;
import org.tensorflow.framework.AttrValue;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.NodeDef;

import java.util.Collections;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

/**
 * Slice backprop function
 *
 * @author Alex Black
 */
@Slf4j
public class SliceBp extends DynamicCustomOp {

    private int[] begin;
    private int[] size;

    public SliceBp() {}

    public SliceBp(SameDiff sameDiff, @NonNull SDVariable input, @NonNull SDVariable gradient, @NonNull int[] begin, @NonNull int[] size){
        super(null, sameDiff, new SDVariable[]{input, gradient});
        this.begin = begin;
        this.size = size;
        addIArgument(begin);
        addIArgument(size);
    }


    @Override
    public String opName() {
        return "slice_bp";
    }


    @Override
    public void assertValidForExecution() {
        if (numInputArguments() != 2 && numInputArguments() != 4) {
            throw new ND4JIllegalStateException("Num input arguments must be 2 or 4.");
        }
    }

    @Override
    public List doDiff(List i_v) {
        throw new UnsupportedOperationException("Differentiation not supported for backprop op: " + getClass().getSimpleName());
    }

    @Override
    public List calculateOutputDataTypes(List dataTypes){
        Preconditions.checkState(dataTypes.size() == 2, "Expected list with exactly 2 datatypes for %s, got %s", getClass(), dataTypes);
        //Output type is same as (original) input type
        return Collections.singletonList(arg().dataType());
    }
}